Building artificial intelligence in credit risk: a commercial lending perspective
Drawing on recent academic evidence and business insights, this white paper provides a contemporary look at what artificial intelligence and machine learning adoption could mean for commercial lending and credit risk assessments. It also proposes different approaches to AI and machine learning adoption tailored to each step of the commercial lending process.
Download the whitepaper
Register for free access to hundreds of resources. Already registered? Sign in here.
More related resources
Model risk management scorecard monitoring
Best practices for monitoring vendor scorecard models, drawing from regulatory guidance and industry best practices

Big book of models: the ultimate guide to analytical models for smarter business decisions
A practical guide for professionals in risk management and quantitative analysis, helping practitioners choose the right methodologies for effective decision-making

Transforming IRRBB into a strategic advantage
Forward-thinking banks are transforming IRRBB from a regulatory obligation into a strategic tool

The Term €STR transition: challenges and market readiness
The progress, challenges and factors shaping the adoption of Term €STR as financial institutions transition from Euribor

Future-ready markets: turning data challenges into opportunities
This white paper explores data management modernisation, enabling firms to stay relevant and future-proof success.
